Prescriptive Analytics Tools and Data Sources

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17 Questions

What type of data do prescriptive analytics tools use?

Data from different sources

Which analytics category is focused on understanding the reasons behind past outcomes?

Diagnostic Analytics

What is the main focus of Descriptive Analytics?

Summarizing and describing current business areas

Which tool is not used in prescriptive analytics?

Descriptive tools

What do businesses interested in Predictive Analytics aim to do?

Forecast the future and predict what will happen

Which type of analytics would be most beneficial for a business wanting to know 'what should be done'?

Prescriptive Analytics

What is the main focus of Descriptive Analytics?

Understanding past events

Which type of analytics aims to answer the question 'Why did it happen'?

Diagnostic analytics

What is the primary goal of Prescriptive Analytics?

Suggesting the best possible outcomes

What is the role of Diagnostic Analytics in the analytics process?

Understanding reasons behind past events

Which characteristic is associated with Volatility in data?

Durability

In which stage of analytics is the integration of raw data from different sources a key step?

Descriptive analytics

Which of the following is NOT a type of business analytics?

Normative Analytics

What is the primary goal of Predictive Analytics?

To forecast the future and predict what will happen

Which step of the OSEMN process involves finding the necessary data?

Obtain

Which of the following is a key characteristic of Predictive Analytics?

Identifying cause-effect relationships

Which of the following is NOT a key capability of Descriptive Analytics?

Predicting future trends and behavior

Explore the tools and data sources used in prescriptive analytics, including business rules, algorithms, simulations, machine learning, and computational modeling. Learn how these tools utilize real-time, historical, big data, and transactional data to provide actionable insights for businesses. Understand the difference between descriptive analytics and how it helps businesses in summarizing and describing their operations at an aggregate level.

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